Machine learning estimates of natural product conformational energies.
about
Machine-learning scoring functions to improve structure-based binding affinity prediction and virtual screeningCheminformatics-aided discovery of small-molecule Protein-Protein Interaction (PPI) dual inhibitors of Tumor Necrosis Factor (TNF) and Receptor Activator of NF-κB Ligand (RANKL).Future De Novo Drug Design.NPASS: natural product activity and species source database for natural product research, discovery and tool development.Interpolation of intermolecular potentials using Gaussian processes.Next generation interatomic potentials for condensed systems
P2860
Machine learning estimates of natural product conformational energies.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Machine learning estimates of natural product conformational energies.
@en
type
label
Machine learning estimates of natural product conformational energies.
@en
prefLabel
Machine learning estimates of natural product conformational energies.
@en
P2860
P50
P1476
Machine learning estimates of natural product conformational energies.
@en
P2093
Michael Reutlinger
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003400
P577
2014-01-16T00:00:00Z